Optimizing Neural Networks for Academic Performance Classification Using Feature Selection and Resampling Approach

The features present in large datasets significantly affect the performance of machine learning models. Redundant and irrelevant features will be rejected and cause a decrease in machine learning model performance. This paper proposes HyFeS-ROS-ANN: Hybrid Feature Selection and Resampling combinati...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Didi Supriyadi, Purwanto Purwanto, Budi Warsito
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Brno University of Technology 2023-12-01
Sarja:	Mendel
Aiheet:	Feature selection Imbalanced dataset Resampling approach Neural network Academic performance Personality
Linkit:	http://www.mendel-journal.org/index.php/mendel/article/view/295
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!